Datasetpublic

qualitydatalab/autotrain-data-car-review-project

AutoTrain Dataset for project: car-review-project Dataset Descritpion This dataset has been automatically processed by AutoTrain for project car-review-project. It contains consumer car ratings and reviews from Edmunds website Languages The BCP-47 code for the dataset's language is en. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "text": " ", "target": 1 }, {… See the full description on the dataset page: https://huggingface.co/datasets/qualitydatalab/autotrain-data-car-review-project.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Dataset Card

AutoTrain Dataset for project: car-review-project

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project car-review-project. It contains consumer car ratings and reviews from Edmunds website

Languages

The BCP-47 code for the dataset's language is en.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json

[
  {
    "text": " ",
    "target": 1
  },
  {
    "text": " Mazda truck costs less than the sister look-a-like Ford; Mazda is a \"A\" series of the Ford Ranger, [...]",
    "target": 2
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

json

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=3, names=['great', 'ok', 'poor'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	19731
valid	4935